Risk stratification models incorporating oxidative stress factors to predict survival and recurrence in patients with gastric cancer after radical gastrectomy: A real-world multicenter study

IF 3.5 2区 医学 Q2 ONCOLOGY
Ejso Pub Date : 2024-09-03 DOI:10.1016/j.ejso.2024.108658
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引用次数: 0

Abstract

Background

Oxidative stress significantly influences the development and progression of gastric cancer (GC). It remains unreported whether incorporating oxidative stress factors into nomograms can improve the predictive accuracy for survival and recurrence risk in GC patients.

Methods

3498 GC patients who underwent radical gastrectomy between 2009 and 2017 were enrolled and randomly divided into training cohort (TC) and internal validation cohort (IVC). Cox regression analysis model was used to evaluate six preoperative oxidative stress indicators to formulate the Systemic oxidative stress Score (SOSS). Two nomograms based on SOSS was constructed by multivariate Cox regression and validated using 322 patients from another two hospitals.

Results

A total of 3820 patients were included. The SOSS, composed of three preoperative indicators—fibrinogen, albumin, and cholesterol—was an independent prognostic factor for both overall survival (OS) and disease-free survival (DFS). The two nomograms based on SOSS showed a significantly higher AUC than the pTNM stage (OS: 0.830 vs. 0.778, DFS: 0.824 vs. 0.775, all P < 0.001) and were validated in the IVC and EVC (all P < 0.001). The local recurrence rate, peritoneal recurrence rate, distant recurrence rate and multiple recurrence rate in high-risk group were significantly higher than those in low-risk group (P < 0.05).

Conclusions

The two novel nomograms based on SOSS which was a combination score of three preoperative blood indicators, demonstrated outstanding predictive abilities for both survival and recurrence in GC patients with different risk groups, which may potentially improve survival through perioperatively active intervention strategies and individualized postoperatively close surveillance.

结合氧化应激因素的风险分层模型,预测胃癌根治术后患者的生存率和复发率:一项真实世界多中心研究
背景氧化应激严重影响胃癌(GC)的发生和发展。将氧化应激因素纳入提名图是否能提高胃癌患者生存和复发风险预测的准确性,目前仍未得到报道。方法 3498 名在 2009 年至 2017 年间接受根治性胃切除术的胃癌患者被纳入研究,并随机分为训练队列(TC)和内部验证队列(IVC)。采用 Cox 回归分析模型对术前六项氧化应激指标进行评估,以制定全身氧化应激评分(SOSS)。通过多变量 Cox 回归,基于 SOSS 建立了两个提名图,并使用另外两家医院的 322 名患者进行了验证。SOSS 由纤维蛋白原、白蛋白和胆固醇三项术前指标组成,是总生存期(OS)和无病生存期(DFS)的独立预后因素。基于 SOSS 的两个提名图的 AUC 明显高于 pTNM 分期(OS:0.830 vs. 0.778,DFS:0.824 vs. 0.775,均为 P < 0.001),并在 IVC 和 EVC 中得到验证(均为 P < 0.001)。结论 这两种基于 SOSS(术前三项血液指标的综合评分)的新型提名图对不同风险组别的 GC 患者的生存率和复发率均有出色的预测能力,通过围手术期积极的干预策略和术后个体化的密切监测,有可能提高患者的生存率。
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来源期刊
Ejso
Ejso 医学-外科
CiteScore
6.40
自引率
2.60%
发文量
1148
审稿时长
41 days
期刊介绍: JSO - European Journal of Surgical Oncology ("the Journal of Cancer Surgery") is the Official Journal of the European Society of Surgical Oncology and BASO ~ the Association for Cancer Surgery. The EJSO aims to advance surgical oncology research and practice through the publication of original research articles, review articles, editorials, debates and correspondence.
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